Understanding the voltage inconsistency features in lithium-ion battery module

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS Journal of energy storage Pub Date : 2025-04-15 Epub Date: 2025-02-27 DOI:10.1016/j.est.2025.116007
Bin Gou , Yanyun He , Peifeng Huang , Wei Zhang , Yuezhi Zhang , Zhonghao Bai
{"title":"Understanding the voltage inconsistency features in lithium-ion battery module","authors":"Bin Gou ,&nbsp;Yanyun He ,&nbsp;Peifeng Huang ,&nbsp;Wei Zhang ,&nbsp;Yuezhi Zhang ,&nbsp;Zhonghao Bai","doi":"10.1016/j.est.2025.116007","DOIUrl":null,"url":null,"abstract":"<div><div>Abusive behaviors can induce voltage inconsistency due to their influence on the basic properties of battery cells. The extraction and identification of voltage inconsistency characteristics serve as vital methods for conducting safety risk assessments and early warnings of batteries. However, the inconsistency features caused by variations in cell's basic properties and various abusive behaviors remain unclear. To address this, a series of battery module cycling tests were conducted to comprehensively analyze inconsistency features and quantify these features using mean normalization (MN) and coefficient of consistency variation methods. Some inconsistency features such as “V-type” and “Λ-type” features, sharp fall feature, and continuous increase of deviation feature, that caused by the variation of initial SOC, capacity, and resistance were captured and quantitatively analyzed. Moreover, the inconsistency features of mechanical deformation, overcharge, over-discharge and low-temperature operation were investigated. “V-type” feature and sharp fall of MN value feature can be found in mechanical deformation, overcharge, and low-temperature operation at 0.5C-rate. For the cell with 6.8 mm indentation depth, the ISC induced continuous increase of low voltage deviation with cycling was also characterized. For low-temperature operation at high C-rates, the “V-type” feature vanished but the sharp fall feature aggravated. These results provide insight into understanding voltage inconsistency features and highlight new directions for safety risk assessment.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"115 ","pages":"Article 116007"},"PeriodicalIF":8.9000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of energy storage","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352152X25007200","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Abusive behaviors can induce voltage inconsistency due to their influence on the basic properties of battery cells. The extraction and identification of voltage inconsistency characteristics serve as vital methods for conducting safety risk assessments and early warnings of batteries. However, the inconsistency features caused by variations in cell's basic properties and various abusive behaviors remain unclear. To address this, a series of battery module cycling tests were conducted to comprehensively analyze inconsistency features and quantify these features using mean normalization (MN) and coefficient of consistency variation methods. Some inconsistency features such as “V-type” and “Λ-type” features, sharp fall feature, and continuous increase of deviation feature, that caused by the variation of initial SOC, capacity, and resistance were captured and quantitatively analyzed. Moreover, the inconsistency features of mechanical deformation, overcharge, over-discharge and low-temperature operation were investigated. “V-type” feature and sharp fall of MN value feature can be found in mechanical deformation, overcharge, and low-temperature operation at 0.5C-rate. For the cell with 6.8 mm indentation depth, the ISC induced continuous increase of low voltage deviation with cycling was also characterized. For low-temperature operation at high C-rates, the “V-type” feature vanished but the sharp fall feature aggravated. These results provide insight into understanding voltage inconsistency features and highlight new directions for safety risk assessment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
了解锂离子电池模块电压不一致特性
滥用行为会影响电池的基本特性,从而导致电压不一致。电压不一致特征的提取和识别是进行电池安全风险评估和早期预警的重要方法。然而,细胞基本性质的变化和各种虐待行为导致的不一致特征尚不清楚。针对这一问题,开展了一系列电池模块循环试验,综合分析不一致特征,并采用均值归一化(MN)和一致性变异系数法对不一致特征进行量化。捕获了由初始荷电状态、容量和电阻变化引起的“v型”和“Λ-type”等不一致特征、急剧下降特征和偏差持续增加特征,并进行了定量分析。此外,还研究了机械变形、过充、过放和低温运行的不一致特征。在0.5C-rate下,机械变形、过充、低温运行均出现“v型”特征和MN值急剧下降特征。对于压痕深度为6.8 mm的电池,ISC诱导的低电压偏差也随循环不断增加。在高碳率的低温工况下,“v型”特征消失,但急剧下降特征加剧。这些结果为理解电压不一致特征提供了见解,并为安全风险评估指明了新的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
期刊最新文献
An adaptive convolutional feature fusion with selective architecture for estimating the state of charge of lithium-ion batteries under unconventional conditions Synergistic design and optimization pathways for dielectric energy storage performance in flexible mineral composites Experimental study of a micro-scale gravity-based energy storage with solar energy Integrated non-invasive aging diagnosis and bidirectional long short-term memory network for accurate state-of-health prediction of sodium-ion batteries Mesoporous carbon pore size regulation enhances Si/C anode performance in lithium-ion batteries
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1